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Asic Dft Engineer Jobs in Virginia (NOW HIRING)

Physical Design Engineer

Bristol, VA · On-site

$80 - $120/hr

Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock ... Collaborate with DFT engineers to integrate design‑for‑test (DFT) structures into the physical ...

Key Responsibilities * Drive the physical implementation of ASIC/SoC designs, including ... Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical ...

Asic Dft Engineer information

What is the difference between Asic Dft Engineer vs Asic Verification Engineer?

AspectAsic Dft EngineerAsic Verification Engineer
Primary FocusDesign for Testability (DFT) implementation and validationFunctional verification of ASIC designs
Skills & CertificationsRTL design, DFT tools, scripting languagesHardware description languages, verification methodologies
Work EnvironmentDesign teams, DFT tool suitesVerification environments, simulation tools
Industry UsageSemiconductor, electronics manufacturingSemiconductor, electronics design companies

While both roles are integral to ASIC development, Asic Dft Engineers focus on ensuring designs are testable and manufacturable, whereas Asic Verification Engineers concentrate on verifying the correctness of the design before fabrication.

What job categories do people searching Asic Dft Engineer jobs in Virginia look for?

The top searched job categories for Asic Dft Engineer jobs in Virginia are:

What cities in Virginia are hiring for Asic Dft Engineer jobs?

Cities in Virginia with the most Asic Dft Engineer job openings:

Infographic showing various Asic Dft Engineer job openings in Virginia as of July 2026, with employment types broken down into 4% As Needed, 89% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 7% Hybrid, and 6% Remote job distribution.

Physical Design Engineer

Fractile

Bristol, VA • On-site

$80 - $120/hr

Other

Posted 16 days ago


Job description

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a Physical Design Engineer to contribute to our next‑generation chip designs. As a Physical Design Engineer, you will support the implementation of complex IC physical designs, from synthesis to sign‑off. You will collaborate with cross‑functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:
  • Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock tree synthesis (CTS), routing, and sign‑off.
  • Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics.
  • Assist in power planning and analysis, addressing IR drop, electromigration, and related effects.
  • Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
  • Collaborate with DFT engineers to integrate design‑for‑test (DFT) structures into the physical implementation.
  • Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
  • Work closely with RTL and architecture teams to support design feasibility, constraints, and physical‑aware RTL design.
  • Work with advanced AI tools and models to improve productivity, analysis, and design quality.
Preferred Qualifications:
  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • 0–5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships.
  • Familiarity with EDA tools for place & route, STA, and sign‑off.
  • Basic understanding of CMOS technology, semiconductor physics, and process limitations.
  • Exposure to timing closure, signal integrity, IR drop analysis, and formal verification.
  • Proficiency in scripting languages like TCL, Perl, or Python for automation is a plus.
  • Excellent problem‑solving skills, communication, and teamwork in a collaborative design environment.
  • Interest in working with advanced AI tools and models as part of the design workflow.
  • Experience or coursework in high‑performance computing (HPC), AI accelerators, or networking chips is a plus.
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